Open AccessBrand Detection System using Deep Learning
Author(s) -
Sugandha Singh,
Saumya Dubey,
Paridhi Singhal,
Rajiv Kumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i7630.079920
Subject(s) - logo (programming language) , convolutional neural network , artificial intelligence , field (mathematics) , computer science , deep learning , product (mathematics) , logos bible software , object detection , computer vision , object (grammar) , representation (politics) , pattern recognition (psychology) , mathematics , geometry , politics , political science , pure mathematics , law , programming language , operating system
In this paper a method of recognizing logos of the brand of cosmetic products using deep learning. There are several of hoax product which easily copies the famous brand’s logo and deteriorates the company’s image. The machine learning has proved to be useful in various of the fields like medical, object detection, vehicle logo recognitions. But till now very few of the works have been performed in cosmetic field. This field is covered using the model sequential convolutional neural network using Tensorflow and Keras. For the visual representation of the result Tensorboard is used. Work have been started with two of the brands-Lakme and L’Oreal. Depending upon the success of this technique, further brands for logo may be added for recognition. The accuracy of approximately 80% was obtained using this technique.